| 2023 | CBMS | Curriculum gDRO: Improving Lung Malignancy Classification through Robust Curriculum Task Learning. | Arun Sivakumar, Yiyang Wang, Roselyne Tchoua, Thiruvarangan Ramaraj, Jacob Furst, Daniela Stan Raicu |
| 2022 | SAC | Autorevise: annotation refinement using motion signal patterns. | Jennifer Piane, Yiyang Wang, Xufan Ma, Jacob Furst, Daniela Stan Raicu |
| 2020 | CBMS | Assessment of Medical Reports Uncertainty through Topic Modeling and Machine Learning. | Mengyuan Shang, Jacob Furst, Daniela Stan Raicu |
| 2019 | IC3K | Multimodal Ranked Search over Integrated Repository of Radiology Data Sources. | Priya Deshpande, Alexander Rasin, Fang Cao, Sriram Yarlagadda, Eli T. Brown, Jacob Furst, Daniela Stan Raicu |
| 2015 | ICDM | Applying Association Rule Mining to Semantic Data in the Lung Image Database Consortium. | Brendan Kennedy, Miguel Carrazza, Alex Rasin, Jacob Furst, Daniela Stan Raicu |
| 2014 | ICDM | Towards Achieving Diagnostic Consensus in Medical Image Interpretation. | Mike Seidel, Alexander Rasin, Jacob Furst, Daniela Stan Raicu |
| 2014 | ICMLA | Machine-Sourced Segmentations vs. Expert-Sourced Segmentations for the Classification of Lung Nodules with Outlier Removal. | Mayra Alejandra Molina Puentes, Jacob Furst, Daniela Stan Raicu |
| 2013 | ICDM | Reducing Classification Cost through Strategic Annotation Assignment. | Jose R. Zamacona, Alexander Rasin, Jacob D. Furst, Daniela Stan Raicu |
| 2013 | ICMLA | Weak Segmentations and Ensemble Learning to Predict Semantic Ratings of Lung Nodules. | Ethan Smith, Patrick Stein, Jacob Furst, Daniela Stan Raicu |
| 2012 | ICIP | Expanding diagnostically labeled datasets using content-based image retrieval. | Anne-Marie Giuca, Kerry A. Seitz, Jacob Furst, Daniela Stan Raicu |
| 2011 | ICMLA | Building an Ensemble of Probabilistic Classifiers for Lung Nodule Interpretation. | Dmitry Zinovev, Jacob Furst, Daniela Stan Raicu |
| 2011 | SIGCSE | Top issues in providing successful undergraduate research experiences. | Hans-Peter Bischof, Jacob D. Furst, Daniela Stan Raicu, Susan Darling Urban |
| 2009 | ICIP | A statistical analysis of the effects of CT acquisition parameters on low-level features extracted from CT images of the lung. | Joseph S. Wantroba, Daniela Stan Raicu, Jacob D. Furst |
| 2009 | MICCAI | Using BI-RADS Descriptors and Ensemble Learning for Classifying Masses in Mammograms. | Yu Zhang, Noriko Tomuro, Jacob Furst, Daniela Stan Raicu |
| 2009 | SIGCSE | Enhancing undergraduate education: a REU model for interdisciplinary research. | Daniela Stan Raicu, Jacob David Furst |
| 2007 | ICDM | Predictive Data Mining for Lung Nodule Interpretation. | William H. Horsthemke, Ekarin Varutbangkul, Daniela Stan Raicu, Jacob Furst |
| 2006 | ICDM | Automatic Single-Organ Segmentation in Computed Tomography Images. | Ruchaneewan Susomboon, Daniela Stan Raicu, Jacob Furst, David S. Channin |
| 2005 | CBMS | Texture-Based Image Retrieval for Computerized Tomography Databases. | Winnie Tsang, Andrew Corboy, Ken Lee, Daniela Stan Raicu, Jacob Furst |
| 2005 | ICIP | A classification approach for anatomical regions segmentation. | Mikhail Kalinin, Daniela Stan Raicu, Jacob D. Furst, David S. Channin |
| 2003 | CATA | A Data Mining Framework for Target Marketing. | Daniela Stan Raicu |